instruction
stringclasses 3
values | input
stringlengths 33
307
| output
stringlengths 66
248
|
|---|---|---|
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Audi e-tron - more cool rear lights from @Audi" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Audi" STOCK: 18/09/2018 DATE: 740.0 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.425 and the TextBlob polarity score is @Audi. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 18/09/2018 1_DAY_RETURN: -0.0135135135135135 2_DAY_RETURN: -0.0135135135135135 3_DAY_RETURN: -0.0081081081081081 7_DAY_RETURN: 71.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 18/09/2018 LAST_PRICE: -0.0054054054054054 PX_VOLUME: 36.491 VOLATILITY_10D: 23.779 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.425 TEXTBLOB_POLARITY: @Audi | Predicted 1_DAY_RETURN: -0.0135135135135135
Predicted 2_DAY_RETURN: -0.0135135135135135
Predicted 7_DAY_RETURN: 71.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Reuters: Audi launches electric SUV in Tesla's backyard, with assist from Amazon https://t.co/dNnvPLq69r
" STOCK: Amazon DATE: 18/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 1 and the TextBlob polarity score is 0.0. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Amazon 1_DAY_RETURN: -0.0170114113495273 2_DAY_RETURN: 0.0150124932381958 3_DAY_RETURN: 0.0150124932381958 7_DAY_RETURN: 0.0237500321990675 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Amazon LAST_PRICE: 1941.05 PX_VOLUME: 4268706.0 VOLATILITY_10D: 27.565 VOLATILITY_30D: 22.124 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0170114113495273
Predicted 2_DAY_RETURN: 0.0150124932381958
Predicted 7_DAY_RETURN: 0.0237500321990675 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Are Google ranking factors studies just plain dumb?
#GoogleRankingFactor @GoogleTrends @Google
@googleanalytics
https://t.co/hBAAIXobSJ
" STOCK: Google DATE: 18/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is -0.29464285714285715. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Google 1_DAY_RETURN: -0.0062376297007137 2_DAY_RETURN: 0.0093136036877416 3_DAY_RETURN: 0.0093136036877416 7_DAY_RETURN: 0.0196039790593861 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Google LAST_PRICE: 1167.11 PX_VOLUME: 1615701.0 VOLATILITY_10D: 16.992 VOLATILITY_30D: 16.753 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: -0.29464285714285715 | Predicted 1_DAY_RETURN: -0.0062376297007137
Predicted 2_DAY_RETURN: 0.0093136036877416
Predicted 7_DAY_RETURN: 0.0196039790593861 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@HarvardBiz Google Pixel Fraud might happen again with the launch of Pixel 3 on 9 October 2018
@Google is Killing.… https://t.co/IG6704n0Ob
" STOCK: Google DATE: 18/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 1 and the TextBlob polarity score is 0.0. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Google 1_DAY_RETURN: -0.0062376297007137 2_DAY_RETURN: 0.0093136036877416 3_DAY_RETURN: 0.0093136036877416 7_DAY_RETURN: 0.0196039790593861 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Google LAST_PRICE: 1167.11 PX_VOLUME: 1615701.0 VOLATILITY_10D: 16.992 VOLATILITY_30D: 16.753 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0062376297007137
Predicted 2_DAY_RETURN: 0.0093136036877416
Predicted 7_DAY_RETURN: 0.0196039790593861 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@nextofficial dreadful customer service from Next... I don’t see why I should be punished for a courier mistake. No… https://t.co/t5RbCwbauo" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Next" STOCK: 18/09/2018 DATE: 5340.0 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -0.5 and the TextBlob polarity score is @nextofficial. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 18/09/2018 1_DAY_RETURN: 0.0018726591760299 2_DAY_RETURN: 0.0018726591760299 3_DAY_RETURN: 0.0157303370786516 7_DAY_RETURN: 476980.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 18/09/2018 LAST_PRICE: 0.0059925093632958 PX_VOLUME: 11.929 VOLATILITY_10D: 14.738 VOLATILITY_30D: -1.0 LSTM_POLARITY: -0.5 TEXTBLOB_POLARITY: @nextofficial | Predicted 1_DAY_RETURN: 0.0018726591760299
Predicted 2_DAY_RETURN: 0.0018726591760299
Predicted 7_DAY_RETURN: 476980.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@pipsmithe @Apple I've blocked Apple a while ago :)" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Apple" STOCK: 18/09/2018 DATE: 218.24 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.5 and the TextBlob polarity score is @Apple. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 18/09/2018 1_DAY_RETURN: 0.0256598240469208 2_DAY_RETURN: 0.0256598240469208 3_DAY_RETURN: 0.0257056451612902 7_DAY_RETURN: 31571712.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 18/09/2018 LAST_PRICE: -0.0016495601173021 PX_VOLUME: 28.915 VOLATILITY_10D: 19.63 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.5 TEXTBLOB_POLARITY: @Apple | Predicted 1_DAY_RETURN: 0.0256598240469208
Predicted 2_DAY_RETURN: 0.0256598240469208
Predicted 7_DAY_RETURN: 31571712.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @HSBC: Watch #entrepreneur @joshtetrick, co-founder of social enterprise @justforall speak to HSBC Private Banking about how they're usi…
" STOCK: HSBC DATE: 18/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.016666666666666666. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: HSBC 1_DAY_RETURN: 0.0073778051029817 2_DAY_RETURN: 0.0119889332923454 3_DAY_RETURN: 0.0119889332923454 7_DAY_RETURN: 0.0003074085459574 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: HSBC LAST_PRICE: 650.6 PX_VOLUME: 20137068.0 VOLATILITY_10D: 10.363 VOLATILITY_30D: 11.167 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.016666666666666666 | Predicted 1_DAY_RETURN: 0.0073778051029817
Predicted 2_DAY_RETURN: 0.0119889332923454
Predicted 7_DAY_RETURN: 0.0003074085459574 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Eftauzzaman: @facebook Dear Facebook , Everytime I try to open my Facebook account it got disable. I don't know why you guys think that…
" STOCK: Facebook DATE: 18/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 1 and the TextBlob polarity score is 0.0. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Facebook 1_DAY_RETURN: 0.0017467248908297 2_DAY_RETURN: 0.0126013724266998 3_DAY_RETURN: 0.0126013724266998 7_DAY_RETURN: 0.0351840299438551 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Facebook LAST_PRICE: 160.3 PX_VOLUME: 22465236.0 VOLATILITY_10D: 22.219 VOLATILITY_30D: 20.115 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0017467248908297
Predicted 2_DAY_RETURN: 0.0126013724266998
Predicted 7_DAY_RETURN: 0.0351840299438551 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @trilearning: https://t.co/IsS8FFWJz9: New Releases - Amazon Devices https://t.co/CcChEosLll via @amazon" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Amazon" STOCK: 18/09/2018 DATE: 1941.05 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.13636363636363635 and the TextBlob polarity score is @amazon. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 18/09/2018 1_DAY_RETURN: 0.0150124932381958 2_DAY_RETURN: 0.0150124932381958 3_DAY_RETURN: 0.0237500321990675 7_DAY_RETURN: 4268706.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 18/09/2018 LAST_PRICE: -0.0170114113495273 PX_VOLUME: 27.565 VOLATILITY_10D: 22.124 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.13636363636363635 TEXTBLOB_POLARITY: @amazon | Predicted 1_DAY_RETURN: 0.0150124932381958
Predicted 2_DAY_RETURN: 0.0150124932381958
Predicted 7_DAY_RETURN: 4268706.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Just saw this on Amazon: L200BS-1 by Lalapao https://t.co/4GeHrCGGDo via @amazon" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Amazon" STOCK: 18/09/2018 DATE: 1941.05 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.0 and the TextBlob polarity score is @amazon. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 18/09/2018 1_DAY_RETURN: 0.0150124932381958 2_DAY_RETURN: 0.0150124932381958 3_DAY_RETURN: 0.0237500321990675 7_DAY_RETURN: 4268706.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 18/09/2018 LAST_PRICE: -0.0170114113495273 PX_VOLUME: 27.565 VOLATILITY_10D: 22.124 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @amazon | Predicted 1_DAY_RETURN: 0.0150124932381958
Predicted 2_DAY_RETURN: 0.0150124932381958
Predicted 7_DAY_RETURN: 4268706.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@cherishmoonlix @felicitybjc @Apple But then again neither one of you have Apple Music sooo" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Apple" STOCK: 18/09/2018 DATE: 218.24 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.0 and the TextBlob polarity score is @Apple. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 18/09/2018 1_DAY_RETURN: 0.0256598240469208 2_DAY_RETURN: 0.0256598240469208 3_DAY_RETURN: 0.0257056451612902 7_DAY_RETURN: 31571712.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 18/09/2018 LAST_PRICE: -0.0016495601173021 PX_VOLUME: 28.915 VOLATILITY_10D: 19.63 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Apple | Predicted 1_DAY_RETURN: 0.0256598240469208
Predicted 2_DAY_RETURN: 0.0256598240469208
Predicted 7_DAY_RETURN: 31571712.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Burberry: Burberry Pull-Overs, circa 1940
Archive inspiration curated by Riccardo Tisci
#BurberryHeritage https://t.co/9HupOlxP9T
" STOCK: Burberry DATE: 18/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 1 and the TextBlob polarity score is 0.0. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Burberry 1_DAY_RETURN: -0.0098591549295774 2_DAY_RETURN: 0.0107981220657277 3_DAY_RETURN: 0.0107981220657277 7_DAY_RETURN: -0.0220657276995305 | The stock shows a consistent negative return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Burberry LAST_PRICE: 2130.0 PX_VOLUME: 1579736.0 VOLATILITY_10D: 28.236 VOLATILITY_30D: 27.451 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0098591549295774
Predicted 2_DAY_RETURN: 0.0107981220657277
Predicted 7_DAY_RETURN: -0.0220657276995305 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Just saw this on Amazon: Dolce & Gabbana Light Blue By Dolce & Gabba... by Dolce & Gabbana for $53.93 https://t.co/Inzb7V4ekj via @amazon" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Amazon" STOCK: 18/09/2018 DATE: 1941.05 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.2 and the TextBlob polarity score is @amazon. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 18/09/2018 1_DAY_RETURN: 0.0150124932381958 2_DAY_RETURN: 0.0150124932381958 3_DAY_RETURN: 0.0237500321990675 7_DAY_RETURN: 4268706.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 18/09/2018 LAST_PRICE: -0.0170114113495273 PX_VOLUME: 27.565 VOLATILITY_10D: 22.124 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.2 TEXTBLOB_POLARITY: @amazon | Predicted 1_DAY_RETURN: 0.0150124932381958
Predicted 2_DAY_RETURN: 0.0150124932381958
Predicted 7_DAY_RETURN: 4268706.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @JoyBusinessGH: Nissan to establish an assembling plant in Ghana
https://t.co/KgFLgmfmbB @Nissan
#JoyBusiness https://t.co/a4PuuhS4lP
" STOCK: Nissan DATE: 18/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Nissan 1_DAY_RETURN: -0.0130353817504655 2_DAY_RETURN: -0.0130353817504655 3_DAY_RETURN: -0.0130353817504655 7_DAY_RETURN: -0.0349162011173184 | The stock shows a consistent negative return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Nissan LAST_PRICE: 1074.0 PX_VOLUME: 17998800.0 VOLATILITY_10D: 17.025 VOLATILITY_30D: 14.452 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0130353817504655
Predicted 2_DAY_RETURN: -0.0130353817504655
Predicted 7_DAY_RETURN: -0.0349162011173184 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @padraichalpin: Ireland collects disputed Apple taxes in full ahead of appeal https://t.co/nKyK5hjdcP via @Reuters" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Apple" STOCK: 18/09/2018 DATE: 218.24 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.35 and the TextBlob polarity score is @Reuters. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 18/09/2018 1_DAY_RETURN: 0.0256598240469208 2_DAY_RETURN: 0.0256598240469208 3_DAY_RETURN: 0.0257056451612902 7_DAY_RETURN: 31571712.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 18/09/2018 LAST_PRICE: -0.0016495601173021 PX_VOLUME: 28.915 VOLATILITY_10D: 19.63 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.35 TEXTBLOB_POLARITY: @Reuters | Predicted 1_DAY_RETURN: 0.0256598240469208
Predicted 2_DAY_RETURN: 0.0256598240469208
Predicted 7_DAY_RETURN: 31571712.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "“Believe in something, Even if it means sacrificing everything” - @Nike
Nike Baby 💪🏽 https://t.co/8b3iWvp4YH
" STOCK: Nike DATE: 18/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Nike 1_DAY_RETURN: -0.0234576589256392 2_DAY_RETURN: -0.0207600281491908 3_DAY_RETURN: -0.0207600281491908 7_DAY_RETURN: -0.0308468214872156 | The stock shows a consistent negative return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Nike LAST_PRICE: 85.26 PX_VOLUME: 7277700.0 VOLATILITY_10D: 15.386 VOLATILITY_30D: 18.916 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0234576589256392
Predicted 2_DAY_RETURN: -0.0207600281491908
Predicted 7_DAY_RETURN: -0.0308468214872156 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@NDWVnews @ATFHQ Google Pixel Fraud might happen again with the launch of Pixel 3 on 9 October 2018
@Google is Kil… https://t.co/52tsgLjMJZ
" STOCK: Google DATE: 18/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 1 and the TextBlob polarity score is 0.0. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Google 1_DAY_RETURN: -0.0062376297007137 2_DAY_RETURN: 0.0093136036877416 3_DAY_RETURN: 0.0093136036877416 7_DAY_RETURN: 0.0196039790593861 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Google LAST_PRICE: 1167.11 PX_VOLUME: 1615701.0 VOLATILITY_10D: 16.992 VOLATILITY_30D: 16.753 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0062376297007137
Predicted 2_DAY_RETURN: 0.0093136036877416
Predicted 7_DAY_RETURN: 0.0196039790593861 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@TechCrunch Google Pixel Fraud might happen again with the launch of Pixel 3 on 9 October 2018
@Google is Killing.… https://t.co/oDu3x20VWw
" STOCK: Google DATE: 18/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Google 1_DAY_RETURN: -0.0062376297007137 2_DAY_RETURN: 0.0093136036877416 3_DAY_RETURN: 0.0093136036877416 7_DAY_RETURN: 0.0196039790593861 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Google LAST_PRICE: 1167.11 PX_VOLUME: 1615701.0 VOLATILITY_10D: 16.992 VOLATILITY_30D: 16.753 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0062376297007137
Predicted 2_DAY_RETURN: 0.0093136036877416
Predicted 7_DAY_RETURN: 0.0196039790593861 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Next week at this time #DF18 what what!!! @salesforce @c13moore @cloudgirlninja see you there!!!" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Next" STOCK: 18/09/2018 DATE: 5340.0 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.0 and the TextBlob polarity score is @salesforce. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 18/09/2018 1_DAY_RETURN: 0.0018726591760299 2_DAY_RETURN: 0.0018726591760299 3_DAY_RETURN: 0.0157303370786516 7_DAY_RETURN: 476980.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 18/09/2018 LAST_PRICE: 0.0059925093632958 PX_VOLUME: 11.929 VOLATILITY_10D: 14.738 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @salesforce | Predicted 1_DAY_RETURN: 0.0018726591760299
Predicted 2_DAY_RETURN: 0.0018726591760299
Predicted 7_DAY_RETURN: 476980.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Check out Mickey Mouse Patchwork Madras Plaid Wallet Trifold Fabric Disney Parks https://t.co/UojA5IrpsV @eBay" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Disney" STOCK: 18/09/2018 DATE: 109.53 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.0 and the TextBlob polarity score is @eBay. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 18/09/2018 1_DAY_RETURN: -0.0024650780608052 2_DAY_RETURN: -0.0024650780608052 3_DAY_RETURN: 0.0006390943120605 7_DAY_RETURN: 4937821.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 18/09/2018 LAST_PRICE: -0.0015520861864329 PX_VOLUME: 12.037 VOLATILITY_10D: 11.133 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: -0.0024650780608052
Predicted 2_DAY_RETURN: -0.0024650780608052
Predicted 7_DAY_RETURN: 4937821.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@Honda Damage on the vehicle was so high that the vehicle became unusable.I found a call to the Honda call center (… https://t.co/mMl5UtxLqY" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Honda" STOCK: 18/09/2018 DATE: 3284.0 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.03 and the TextBlob polarity score is @Honda. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 18/09/2018 1_DAY_RETURN: -0.0204019488428745 2_DAY_RETURN: -0.0204019488428745 3_DAY_RETURN: -0.0334957369062119 7_DAY_RETURN: 6561600.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 18/09/2018 LAST_PRICE: -0.0204019488428745 PX_VOLUME: 21.306 VOLATILITY_10D: 21.537 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.03 TEXTBLOB_POLARITY: @Honda | Predicted 1_DAY_RETURN: -0.0204019488428745
Predicted 2_DAY_RETURN: -0.0204019488428745
Predicted 7_DAY_RETURN: 6561600.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @OfficialMonstaX: @Starbucks @hyungnyan [#형원] sips Starbucks like me. https://t.co/np3lDcGgjB" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Starbucks" STOCK: 18/09/2018 DATE: 55.07 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.0 and the TextBlob polarity score is @Starbucks. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.